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Python 3 and Data Visualization
Python 3 and Data Visualization

Python 3 and Data Visualization: Mastering Graphics and Data Manipulation with Python

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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€40.99
eBook Aug 2024 281 pages 1st Edition
eBook
€40.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
€40.99
eBook Aug 2024 281 pages 1st Edition
eBook
€40.99
eBook
€40.99

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Key benefits

  • Comprehensive Python 3 basics
  • Detailed data visualization techniques
  • Hands-on code samples and exercises

Description

Python 3 and Data Visualization provides an in-depth exploration of Python 3 programming and data visualization techniques. The course begins with an introduction to Python, covering essential topics from basic data types and loops to advanced constructs such as dictionaries and matrices. This foundation prepares readers for the next section, which focuses on NumPy and its powerful array operations, seamlessly leading into data visualization using prominent libraries like Matplotlib. Chapter 6 delves into Seaborn's rich visualization tools, providing insights into datasets like Iris and Titanic. The appendix covers additional visualization tools and techniques, including SVG graphics and D3 for dynamic visualizations. The companion files include numerous Python code samples and figures, enhancing the learning experience. From foundational Python concepts to advanced data visualization techniques, this course serves as a comprehensive resource for both beginners and seasoned professionals, equipping them with the necessary skills to effectively visualize data.

Who is this book for?

Ideal for Python programmers and data scientists looking to enhance their data visualization skills. Readers should have basic knowledge of Python and a keen interest in data visualization. No advanced programming skills are required, but familiarity with programming concepts is beneficial.

What you will learn

  • Master Python 3 basics
  • Implement data visualization
  • Use NumPy for data manipulation
  • Create visualizations with Matplotlib
  • Handle data with Pandas
  • Explore Seaborn for advanced plots

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 09, 2024
Length: 281 pages
Edition : 1st
Language : English
ISBN-13 : 9781836645702
Category :

What do you get with eBook?

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Product feature icon DRM FREE - Read whenever, wherever and however you want
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OR
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Product Details

Publication date : Aug 09, 2024
Length: 281 pages
Edition : 1st
Language : English
ISBN-13 : 9781836645702
Category :

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Table of Contents

7 Chapters
Chapter 1: Introduction to Python 3 Chevron down icon Chevron up icon
Chapter 2: NumPy and Data Visualization Chevron down icon Chevron up icon
Chapter 3: Pandas and Data Visualization Chevron down icon Chevron up icon
Chapter 4: Pandas and SQL Chevron down icon Chevron up icon
Chapter 5: Matplotlib for Data Visualization Chevron down icon Chevron up icon
Chapter 6: Seaborn for Data Visualization Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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